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Alicia Wang

dblp:239/7823 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Health and well-being technologies · 77% Usability and user experience research · 23%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › information visualization
personal data visualization
0.412019
DataSelfie: Empowering People to Design Personalized Visuals to Represent Their Data · CHI 2019
Health and well-being technologies
personal informatics
0.412019
DataSelfie: Empowering People to Design Personalized Visuals to Represent Their Data · CHI 2019
Usability and user experience research
usability evaluation
0.112019
DataSelfie: Empowering People to Design Personalized Visuals to Represent Their Data · CHI 2019

Methods — techniques the papers use, named apart from their topics

user study · 0.8design analysis · 0.8
YearPublicationVenuePosition
2019 DataSelfie: Empowering People to Design Personalized Visuals to Represent Their Data
abstract
Many personal informatics systems allow people to collect and manage personal data and reflect more deeply about themselves. However, these tools rarely offer ways to customize how the data is visualized. In this work, we investigate the question of how to enable people to determine the representation of their data. We analyzed the Dear Data project to gain insights into the design elements of personal visualizations. We developed DataSelfie, a novel system that allows individuals to gather personal data and design custom visuals to represent the collected data. We conducted a user study to evaluate the usability of the system as well as its potential for individual and collaborative sensemaking of the data.
Hyejin Im, Nathalie Henry Riche, Alicia Wang, Krzysztof Z. Gajos, Hanspeter Pfister
CHI4